Libimseti上的匿名用户推荐系统

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<span style="font-size:18px;">/***
 * @author YangXin
 * @date 2016/2/19
 * @info Libimseti上的匿名用户推荐系统
 */
package unitFive;
import java.io.File;
import java.io.IOException;
import java.util.List;
import org.apache.mahout.cf.taste.common.TasteException;
import org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray;
import org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel;
import org.apache.mahout.cf.taste.impl.model.file.FileDataModel;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.model.PreferenceArray;
import org.apache.mahout.cf.taste.recommender.RecommendedItem;

public class LibimsetiWithAnonymousRecommender extends LibimsetiRecommender {
	private final PlusAnonymousUserDataModel plusAnonymousModel;
	
	//注这里的readResouceToTempFile待实现
	public LibimsetiWithAnonymousRecommender() throws TasteException, IOException{
		this(new FileDataModel(readResourceToTempFile("E:\\mahout项目\\examples\\ratings.dat")));
	}
	
	/***
	 * 此方法封装了如何将资源转换为加载的文件，此处未实现
	 * @param string
	 * @return
	 */
	private static File readResourceToTempFile(String string) {
		// TODO Auto-generated method stub
		return null;
	}

	public LibimsetiWithAnonymousRecommender(DataModel model) throws TasteException, IOException{
		super(new PlusAnonymousUserDataModel(model));
		plusAnonymousModel = (PlusAnonymousUserDataModel)getDataModel();
	}
	
	public synchronized List<RecommendedItem> recommend(PreferenceArray anonymouseUserPrefs, int howMany) throws TasteException{
		plusAnonymousModel.setTempPrefs(anonymouseUserPrefs);
		List<RecommendedItem> recommendations = recommend(PlusAnonymousUserDataModel.TEMP_USER_ID, howMany, null);
		plusAnonymousModel.clearTempPrefs();
		return recommendations;
	}
	
	
	public static void main(String[] args) throws Exception{
		PreferenceArray anonymousPrefs = new GenericUserPreferenceArray(3);
		anonymousPrefs.setUserID(0, PlusAnonymousUserDataModel.TEMP_USER_ID);
		anonymousPrefs.setItemID(0, 123L);
		anonymousPrefs.setValue(0, 1.0f);
		anonymousPrefs.setItemID(1, 123L);
		anonymousPrefs.setValue(1, 3.0f);
		anonymousPrefs.setItemID(2, 123L);
		anonymousPrefs.setValue(2, 2.0f);
		LibimsetiWithAnonymousRecommender recommender = new LibimsetiWithAnonymousRecommender();
		List<RecommendedItem> recommendations = recommender.recommend(anonymousPrefs, 10);
		System.out.println(recommendations);
	}
}
</span>

Libimseti上的匿名用户推荐系统

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原文地址：http://blog.csdn.net/u012965373/article/details/50698879